Latest articles
Usage discrepancies: when business software meets real life
Do users really follow the paths carefully mapped out by designers? And when reality goes beyond the scope of the design—which happens more often than we think—how can we know this other than through intuition and assumptions? On a daily basis, business-oriented software supports very concrete activities: managing leave, processing absences, tracking careers, producing regulatory reports, etc. In terms of design, these activities are translated into well-defined paths, supported by
Mono2Micro-MDE : An end-to-end approach towards migrating a monolithic application towards a microservice-oriented architecture
Find the first migration approach in these articles: article 1 & article 2 In this section, we introduce a broad overview of the different phases which constitute our global MDE-based migration workflow. In short, our workflow (see Figure 1) encompasses 4 important steps : Extracting a model from the source application. Identifying the application’s candidate
Image analysis for Maintenance intervention request classification
Technologies and systems for automation of maintenance tasks and equipment management are used in several cases of different business fields like security or food-processing industry for instance. The technologies used have reached a maturation stage allowing their use in real case, according to practical application specificity. However, it remains uncertainties about developing an approach allowing
Backend monolithic app to microservices architecture migration – 2nd part
Find the first part of the article by following this link In the first part article, we’ve explained how to identify microservices candidates by extracting the layered architecture artifacts from the existing code of a monolithic application. Several approaches address this first step, though they either do not address the materialization step or complete this
BL.Conecta, the future kernel of city’s intermediation platforms?
Context Since few years, we observe the rise of intermediation platforms and web services consumption used through these multitude of platforms. The fact is that intermediation environments put in relation a producer/seller with a web user/consumer to enable a transaction (sales, exchange, share of products or services) that create value. Intermediation platforms are used as
🇫🇷 Comment l’Intelligence Aritificielle va-t-elle nous aider ? (Lien)
Backend monolithic app to microservices architecture migration – 1st part
Generally, companies software are built in a three part system: a client side/user interface, a database, and a side-server application called a monolith. Monoliths are often built as a single logical executable, in a single-tiered with multiple layers: presentation, business logic, and data-access. These apps are easy to design and develop, though they are difficult
Maintenance queries classification with NLP
When our client equipment needs maintenance intervention for any reason, they can request it through Carl Source, our CMMS software. Those intervention queries will be received by the technical service which will analyze it, pre-qualify it and associate it to an intervention type before scheduling it. Some interventions are more urgent to other and some
Proof of concept : Interoperability Java – MS Access by Benoît Verhaeghe and Julien Morgan de Rivery
We led this project to determine the possibility to control a Microsoft Access 2013 application (or more recent versions) from a Java program to enable its migration.We’ve set up a two-steps approach: A first step to allow the utilization of Access software Application Programming Interface (API). Then, we studied the API to let us manipulate
Semantic relationship generating
Relationship identification in documents is part of a project about knowledge graph.A knowledge graph is a way to graphically present semantic relationship between subjects like peoples, places, organizations etc. which makes possible to synthetically show a body of knowledge. For instance, figure 1 present a social media knowledge graph, we can find some information about
BL.Optim, a better visualization for a better organization
Scheduling staff interventions can easily become a hard work with all the constraints to consider (working time, required skills, localization…). So our team worked on an optimized engine which generates a relevant schedule according to the constraints and standards added by the user (see the corresponding articles for CARL Source or BL.Domicile). But we wondered:
Forum for advances in visualization and visual analytics – VIS 2025 (Vienna – Austria)
IFIP/SOCOLNET – Hybrid Human-AI Collaborative Networks (Porto – Portugal)
La Mêlée Numérique – Artificial Revolutions (Toulouse – France)
Gabriel Darbord Ph.D. thesis defense: “Automatic test generation to help modernize our applications”
Friday 5th December at 9a.m. Paris time, Gabriel Darbord, Ph.D. Candidate has defended his thesis named “Automatic test generation to help modernize our applications”. His thesis defense took place in Lille, France. Take a look at the summary below. This thesis is fully in line with the partnership between Berger-Levrault and Inria, which aims to
Berger-Levrault strengthens its ties with AI startups!
We are proud to announce that we have joined Hub France IA, the largest association dedicated to artificial intelligence in France. This network now brings together more than 250 members—companies, startups, research laboratories, and institutions—who share the same goal: to accelerate the development and adoption of AI in France and Europe. Getting closer to the
Celebrating New PhDs from the BL.Research Team!
At Berger-Levrault, research is more than a mission—it’s a shared adventure. As the new academic year begins, we are proud to celebrate the success of four of our colleagues from the BL.Research team, who have reached a major milestone in their scientific journeys: the defense of their doctoral theses. These achievements are the result of
Hamza Safri Ph.D. thesis defense: “Federated learning for the IoT : Application for Industry 4.0”
Thuesday 24th June at 3pm Paris time, Hamza Safri, Ph.D. Candidate has defended his thesis named “Federated learning for the IoT: Application for Industry 4.0”. His thesis defense took place at the Inria Minatec Grenoble, Grenoble, France. Take a look at the summary below. Keywords: Model generalization, predictive maintenance, industrial IoT, federated learning, edge network,
ESUG 2025: Six contributions and 2 prizes for the Software Engineering Lab team!
Congratulations to our PhDs Nicolas Hlad, Aless Hosry, Benoit Verhaeghe and Pascal Zaragoza from Berger-Levrault’s BL.Research team for their participation in the 2025 edition of the ESUG (European Smalltalk User Group) conference! This year’s conference took place from July 1-4 in Gdansk, Poland. The theme was innovation in Smalltalk technologies and their use in software
Julien Breton Ph.D. thesis defense: “Extraction and formalization of regulatory industrial maintenance knowledge from semi-structured corpus data”
Friday, 27th June at 1.30 pm Paris time, Julien Breton, Ph.D. Candidate has defended his thesis named “Extraction and formalization of regulatory industrial maintenance knowledge from semi-structured corpus data”. His thesis defense took place at the IRIT research laboratory, Toulouse, France. Take a look at the summary below. Keywords: Legal compliance,Industrial maintenance, Norm extraction,LLM (Large
New White Paper – AI for maintenance! Challenges, Opportunities and Case Studies
How is artificial intelligence transforming maintenance practices today? What are the concrete opportunities for equipment, infrastructure and fleet managers? The new white paper published by CARL Berger-Levrault offers a rich and accessible insight into these strategic questions. Entitled “AI at the service of maintenance: challenges, opportunities and case studies”, this document summarizes experience in the
New White Paper – Agentic AI, a Software and Societal Revolution!
Research at Berger-Levrault is tackling a new frontier in artificial intelligence: that of (partially) autonomous agents capable of reasoning, planning, collaborating, orchestrating and learning in complex business environments. Our new white paper, “Beyond automation – How agentic AI is transforming the software industry”, shares with you an in-depth analysis of this ongoing technological revolution, its
